PutBotRequest (AWS SDK for Java

java.lang.Object
- com.amazonaws.AmazonWebServiceRequest
- - com.amazonaws.services.lexmodelbuilding.model.PutBotRequest

All Implemented Interfaces:: HandlerContextAware, ReadLimitInfo, Serializable, Cloneable

@Generated(value="com.amazonaws:aws-java-sdk-code-generator")
public class PutBotRequest
extends AmazonWebServiceRequest
implements Serializable, Cloneable

See Also:: AWS API Documentation, Serialized Form

Field Summary
- Fields inherited from class com.amazonaws.AmazonWebServiceRequest
  NOOP

Constructor Summary

Constructors
Constructor and Description

PutBotRequest()

Constructors
Constructor and Description
`PutBotRequest()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`PutBotRequest`	`clone()` Creates a shallow clone of this object for all fields except the handler context.
`boolean`	`equals(Object obj)`
`Statement`	`getAbortStatement()` When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
`String`	`getChecksum()` Identifies a specific revision of the `$LATEST` version.
`Boolean`	`getChildDirected()` For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying `true` or `false` in the `childDirected` field.
`Prompt`	`getClarificationPrompt()` When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification.
`Boolean`	`getCreateVersion()` When set to `true` a new numbered version of the bot is created.
`String`	`getDescription()` A description of the bot.
`Boolean`	`getDetectSentiment()` When set to `true` user utterances are sent to Amazon Comprehend for sentiment analysis.
`Boolean`	`getEnableModelImprovements()` Set to `true` to enable access to natural language understanding improvements.
`Integer`	`getIdleSessionTTLInSeconds()` The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
`List<Intent>`	`getIntents()` An array of `Intent` objects.
`String`	`getLocale()` Specifies the target locale for the bot.
`String`	`getName()` The name of the bot.
`Double`	`getNluIntentConfidenceThreshold()` Determines the threshold where Amazon Lex will insert the `AMAZON.FallbackIntent`, `AMAZON.KendraSearchIntent`, or both when returning alternative intents in a PostContent or PostText response.
`String`	`getProcessBehavior()` If you set the `processBehavior` element to `BUILD`, Amazon Lex builds the bot so that it can be run.
`List<Tag>`	`getTags()` A list of tags to add to the bot.
`String`	`getVoiceId()` The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user.
`int`	`hashCode()`
`Boolean`	`isChildDirected()` For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying `true` or `false` in the `childDirected` field.
`Boolean`	`isCreateVersion()` When set to `true` a new numbered version of the bot is created.
`Boolean`	`isDetectSentiment()` When set to `true` user utterances are sent to Amazon Comprehend for sentiment analysis.
`Boolean`	`isEnableModelImprovements()` Set to `true` to enable access to natural language understanding improvements.
`void`	`setAbortStatement(Statement abortStatement)` When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
`void`	`setChecksum(String checksum)` Identifies a specific revision of the `$LATEST` version.
`void`	`setChildDirected(Boolean childDirected)` For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying `true` or `false` in the `childDirected` field.
`void`	`setClarificationPrompt(Prompt clarificationPrompt)` When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification.
`void`	`setCreateVersion(Boolean createVersion)` When set to `true` a new numbered version of the bot is created.
`void`	`setDescription(String description)` A description of the bot.
`void`	`setDetectSentiment(Boolean detectSentiment)` When set to `true` user utterances are sent to Amazon Comprehend for sentiment analysis.
`void`	`setEnableModelImprovements(Boolean enableModelImprovements)` Set to `true` to enable access to natural language understanding improvements.
`void`	`setIdleSessionTTLInSeconds(Integer idleSessionTTLInSeconds)` The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
`void`	`setIntents(Collection<Intent> intents)` An array of `Intent` objects.
`void`	`setLocale(Locale locale)` Specifies the target locale for the bot.
`void`	`setLocale(String locale)` Specifies the target locale for the bot.
`void`	`setName(String name)` The name of the bot.
`void`	`setNluIntentConfidenceThreshold(Double nluIntentConfidenceThreshold)` Determines the threshold where Amazon Lex will insert the `AMAZON.FallbackIntent`, `AMAZON.KendraSearchIntent`, or both when returning alternative intents in a PostContent or PostText response.
`void`	`setProcessBehavior(ProcessBehavior processBehavior)` If you set the `processBehavior` element to `BUILD`, Amazon Lex builds the bot so that it can be run.
`void`	`setProcessBehavior(String processBehavior)` If you set the `processBehavior` element to `BUILD`, Amazon Lex builds the bot so that it can be run.
`void`	`setTags(Collection<Tag> tags)` A list of tags to add to the bot.
`void`	`setVoiceId(String voiceId)` The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user.
`String`	`toString()` Returns a string representation of this object.
`PutBotRequest`	`withAbortStatement(Statement abortStatement)` When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
`PutBotRequest`	`withChecksum(String checksum)` Identifies a specific revision of the `$LATEST` version.
`PutBotRequest`	`withChildDirected(Boolean childDirected)` For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying `true` or `false` in the `childDirected` field.
`PutBotRequest`	`withClarificationPrompt(Prompt clarificationPrompt)` When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification.
`PutBotRequest`	`withCreateVersion(Boolean createVersion)` When set to `true` a new numbered version of the bot is created.
`PutBotRequest`	`withDescription(String description)` A description of the bot.
`PutBotRequest`	`withDetectSentiment(Boolean detectSentiment)` When set to `true` user utterances are sent to Amazon Comprehend for sentiment analysis.
`PutBotRequest`	`withEnableModelImprovements(Boolean enableModelImprovements)` Set to `true` to enable access to natural language understanding improvements.
`PutBotRequest`	`withIdleSessionTTLInSeconds(Integer idleSessionTTLInSeconds)` The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
`PutBotRequest`	`withIntents(Collection<Intent> intents)` An array of `Intent` objects.
`PutBotRequest`	`withIntents(Intent... intents)` An array of `Intent` objects.
`PutBotRequest`	`withLocale(Locale locale)` Specifies the target locale for the bot.
`PutBotRequest`	`withLocale(String locale)` Specifies the target locale for the bot.
`PutBotRequest`	`withName(String name)` The name of the bot.
`PutBotRequest`	`withNluIntentConfidenceThreshold(Double nluIntentConfidenceThreshold)` Determines the threshold where Amazon Lex will insert the `AMAZON.FallbackIntent`, `AMAZON.KendraSearchIntent`, or both when returning alternative intents in a PostContent or PostText response.
`PutBotRequest`	`withProcessBehavior(ProcessBehavior processBehavior)` If you set the `processBehavior` element to `BUILD`, Amazon Lex builds the bot so that it can be run.
`PutBotRequest`	`withProcessBehavior(String processBehavior)` If you set the `processBehavior` element to `BUILD`, Amazon Lex builds the bot so that it can be run.
`PutBotRequest`	`withTags(Collection<Tag> tags)` A list of tags to add to the bot.
`PutBotRequest`	`withTags(Tag... tags)` A list of tags to add to the bot.
`PutBotRequest`	`withVoiceId(String voiceId)` The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - PutBotRequest
```
public PutBotRequest()
```
- Method Detail
  - setName
```
public void setName(String name)
```
    The name of the bot. The name is not case sensitive.
    
    Parameters:
    
    name - The name of the bot. The name is not case sensitive.
  - getName
```
public String getName()
```
    The name of the bot. The name is not case sensitive.
    
    Returns:
    
    The name of the bot. The name is not case sensitive.
  - withName
```
public PutBotRequest withName(String name)
```
    The name of the bot. The name is not case sensitive.
    
    Parameters:
    
    name - The name of the bot. The name is not case sensitive.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setDescription
```
public void setDescription(String description)
```
    A description of the bot.
    
    Parameters:
    
    description - A description of the bot.
  - getDescription
```
public String getDescription()
```
    A description of the bot.
    
    Returns:
    
    A description of the bot.
  - withDescription
```
public PutBotRequest withDescription(String description)
```
    A description of the bot.
    
    Parameters:
    
    description - A description of the bot.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - getIntents
```
public List<Intent> getIntents()
```
    An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
    
    Returns:
    
    An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
  - setIntents
```
public void setIntents(Collection<Intent> intents)
```
    An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
    
    Parameters:
    
    intents - An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
  - withIntents
```
public PutBotRequest withIntents(Intent... intents)
```
    An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
    
    NOTE: This method appends the values to the existing list (if any). Use setIntents(java.util.Collection) or withIntents(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    intents - An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withIntents
```
public PutBotRequest withIntents(Collection<Intent> intents)
```
    An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
    
    Parameters:
    
    intents - An array of Intent objects. Each intent represents a command that a user can express. For example, a pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setEnableModelImprovements
```
public void setEnableModelImprovements(Boolean enableModelImprovements)
```
    Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
    Parameters:
    enableModelImprovements - Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
  - getEnableModelImprovements
```
public Boolean getEnableModelImprovements()
```
    Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
    Returns:
    Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
  - withEnableModelImprovements
```
public PutBotRequest withEnableModelImprovements(Boolean enableModelImprovements)
```
    Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
    Parameters:
    enableModelImprovements - Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isEnableModelImprovements
```
public Boolean isEnableModelImprovements()
```
    Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
    Returns:
    Set to true to enable access to natural language understanding improvements.
    
    When you set the enableModelImprovements parameter to true you can use the nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
    
    You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter to true, your bot has access to accuracy improvements.
    
    The Regions where you can set the enableModelImprovements parameter to true are:
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default. In these Regions setting the parameter to false throws a ValidationException exception.
  - setNluIntentConfidenceThreshold
```
public void setNluIntentConfidenceThreshold(Double nluIntentConfidenceThreshold)
```
    Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.
    
    You must set the enableModelImprovements parameter to true to use confidence scores in the following regions.
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default.
    
    For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation would be:
    - AMAZON.FallbackIntent
    - IntentA
    - IntentB
    - IntentC
    Parameters:
    nluIntentConfidenceThreshold - Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.
    
    You must set the enableModelImprovements parameter to true to use confidence scores in the following regions.
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default.
    
    For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation would be:
    
    AMAZON.FallbackIntent
    
    IntentA
    
    IntentB
    
    IntentC
  - getNluIntentConfidenceThreshold
```
public Double getNluIntentConfidenceThreshold()
```
    Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.
    
    You must set the enableModelImprovements parameter to true to use confidence scores in the following regions.
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default.
    
    For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation would be:
    - AMAZON.FallbackIntent
    - IntentA
    - IntentB
    - IntentC
    Returns:
    Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.
    
    You must set the enableModelImprovements parameter to true to use confidence scores in the following regions.
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default.
    
    For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation would be:
    
    AMAZON.FallbackIntent
    
    IntentA
    
    IntentB
    
    IntentC
  - withNluIntentConfidenceThreshold
```
public PutBotRequest withNluIntentConfidenceThreshold(Double nluIntentConfidenceThreshold)
```
    Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.
    
    You must set the enableModelImprovements parameter to true to use confidence scores in the following regions.
    - US East (N. Virginia) (us-east-1)
    - US West (Oregon) (us-west-2)
    - Asia Pacific (Sydney) (ap-southeast-2)
    - EU (Ireland) (eu-west-1)
    In other Regions, the enableModelImprovements parameter is set to true by default.
    
    For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation would be:
    - AMAZON.FallbackIntent
    - IntentA
    - IntentB
    - IntentC
    Parameters:
    nluIntentConfidenceThreshold - Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.
    
    You must set the enableModelImprovements parameter to true to use confidence scores in the following regions.
    
    US East (N. Virginia) (us-east-1)
    
    US West (Oregon) (us-west-2)
    
    Asia Pacific (Sydney) (ap-southeast-2)
    
    EU (Ireland) (eu-west-1)
    
    In other Regions, the enableModelImprovements parameter is set to true by default.
    
    For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation would be:
    
    AMAZON.FallbackIntent
    
    IntentA
    
    IntentB
    
    IntentC
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setClarificationPrompt
```
public void setClarificationPrompt(Prompt clarificationPrompt)
```
    When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement field.
    
    When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
    
    If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
    
    If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
    - Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
    - Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    - PutSession operation - When using the PutSession operation, you send an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    Parameters:
    clarificationPrompt - When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement field.
    
    When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
    
    If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
    
    If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
    
    Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
    
    Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    
    PutSession operation - When using the PutSession operation, you send an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
  - getClarificationPrompt
```
public Prompt getClarificationPrompt()
```
    When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement field.
    
    When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
    
    If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
    
    If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
    - Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
    - Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    - PutSession operation - When using the PutSession operation, you send an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    Returns:
    When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement field.
    
    When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
    
    If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
    
    If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
    
    Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
    
    Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    
    PutSession operation - When using the PutSession operation, you send an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
  - withClarificationPrompt
```
public PutBotRequest withClarificationPrompt(Prompt clarificationPrompt)
```
    When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement field.
    
    When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
    
    If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
    
    If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
    - Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
    - Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    - PutSession operation - When using the PutSession operation, you send an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    Parameters:
    clarificationPrompt - When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement field.
    
    When you create a clarification prompt, make sure that it suggests the correct response from the user. for example, for a bot that orders pizza and drinks, you might create this clarification prompt: "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'"
    
    If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
    
    If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in three cases:
    
    Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to get an intent.
    
    Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    
    PutSession operation - When using the PutSession operation, you send an ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setAbortStatement
```
public void setAbortStatement(Statement abortStatement)
```
    When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
    
    For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
    
    For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent might require the CrustType slot. You specify the valueElicitationPrompt field when you create the CrustType slot.
    
    If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
    
    Parameters:
    
    abortStatement - When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
    
    For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
    
    For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent might require the CrustType slot. You specify the valueElicitationPrompt field when you create the CrustType slot.
    
    If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
  - getAbortStatement
```
public Statement getAbortStatement()
```
    When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
    
    For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
    
    For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent might require the CrustType slot. You specify the valueElicitationPrompt field when you create the CrustType slot.
    
    If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
    
    Returns:
    
    When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
    
    For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
    
    For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent might require the CrustType slot. You specify the valueElicitationPrompt field when you create the CrustType slot.
    
    If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
  - withAbortStatement
```
public PutBotRequest withAbortStatement(Statement abortStatement)
```
    When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
    
    For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
    
    For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent might require the CrustType slot. You specify the valueElicitationPrompt field when you create the CrustType slot.
    
    If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
    
    Parameters:
    
    abortStatement - When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times. After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
    
    For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex tries to elicit a correct response a few more times.
    
    For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent might require the CrustType slot. You specify the valueElicitationPrompt field when you create the CrustType slot.
    
    If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is used instead. For more information, see AMAZON.FallbackIntent.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setIdleSessionTTLInSeconds
```
public void setIdleSessionTTLInSeconds(Integer idleSessionTTLInSeconds)
```
    The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
    
    A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
    
    For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
    
    If you don't include the idleSessionTTLInSeconds element in a PutBot operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
    
    The default is 300 seconds (5 minutes).
    
    Parameters:
    
    idleSessionTTLInSeconds - The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
    
    A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
    
    For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
    
    If you don't include the idleSessionTTLInSeconds element in a PutBot operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
    
    The default is 300 seconds (5 minutes).
  - getIdleSessionTTLInSeconds
```
public Integer getIdleSessionTTLInSeconds()
```
    The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
    
    A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
    
    For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
    
    If you don't include the idleSessionTTLInSeconds element in a PutBot operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
    
    The default is 300 seconds (5 minutes).
    
    Returns:
    
    The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
    
    A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
    
    For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
    
    If you don't include the idleSessionTTLInSeconds element in a PutBot operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
    
    The default is 300 seconds (5 minutes).
  - withIdleSessionTTLInSeconds
```
public PutBotRequest withIdleSessionTTLInSeconds(Integer idleSessionTTLInSeconds)
```
    The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
    
    A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
    
    For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
    
    If you don't include the idleSessionTTLInSeconds element in a PutBot operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
    
    The default is 300 seconds (5 minutes).
    
    Parameters:
    
    idleSessionTTLInSeconds - The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
    
    A user interaction session remains active for the amount of time specified. If no conversation occurs during this time, the session expires and Amazon Lex deletes any data provided before the timeout.
    
    For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information that it gathered, and the user must start over.
    
    If you don't include the idleSessionTTLInSeconds element in a PutBot operation request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
    
    The default is 300 seconds (5 minutes).
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setVoiceId
```
public void setVoiceId(String voiceId)
```
    The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon Polly Developer Guide.
    
    Parameters:
    
    voiceId - The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon Polly Developer Guide.
  - getVoiceId
```
public String getVoiceId()
```
    The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon Polly Developer Guide.
    
    Returns:
    
    The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon Polly Developer Guide.
  - withVoiceId
```
public PutBotRequest withVoiceId(String voiceId)
```
    The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon Polly Developer Guide.
    
    Parameters:
    
    voiceId - The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon Polly Developer Guide.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setChecksum
```
public void setChecksum(String checksum)
```
    Identifies a specific revision of the $LATEST version.
    
    When you create a new bot, leave the checksum field blank. If you specify a checksum you get a BadRequestException exception.
    
    When you want to update a bot, set the checksum field to the checksum of the most recent revision of the $LATEST version. If you don't specify the checksum field, or if the checksum does not match the $LATEST version, you get a PreconditionFailedException exception.
    
    Parameters:
    
    checksum - Identifies a specific revision of the $LATEST version.
    
    When you create a new bot, leave the checksum field blank. If you specify a checksum you get a BadRequestException exception.
    
    When you want to update a bot, set the checksum field to the checksum of the most recent revision of the $LATEST version. If you don't specify the checksum field, or if the checksum does not match the $LATEST version, you get a PreconditionFailedException exception.
  - getChecksum
```
public String getChecksum()
```
    Identifies a specific revision of the $LATEST version.
    
    When you create a new bot, leave the checksum field blank. If you specify a checksum you get a BadRequestException exception.
    
    When you want to update a bot, set the checksum field to the checksum of the most recent revision of the $LATEST version. If you don't specify the checksum field, or if the checksum does not match the $LATEST version, you get a PreconditionFailedException exception.
    
    Returns:
    
    Identifies a specific revision of the $LATEST version.
    
    When you create a new bot, leave the checksum field blank. If you specify a checksum you get a BadRequestException exception.
    
    When you want to update a bot, set the checksum field to the checksum of the most recent revision of the $LATEST version. If you don't specify the checksum field, or if the checksum does not match the $LATEST version, you get a PreconditionFailedException exception.
  - withChecksum
```
public PutBotRequest withChecksum(String checksum)
```
    Identifies a specific revision of the $LATEST version.
    
    When you create a new bot, leave the checksum field blank. If you specify a checksum you get a BadRequestException exception.
    
    When you want to update a bot, set the checksum field to the checksum of the most recent revision of the $LATEST version. If you don't specify the checksum field, or if the checksum does not match the $LATEST version, you get a PreconditionFailedException exception.
    
    Parameters:
    
    checksum - Identifies a specific revision of the $LATEST version.
    
    When you create a new bot, leave the checksum field blank. If you specify a checksum you get a BadRequestException exception.
    
    When you want to update a bot, set the checksum field to the checksum of the most recent revision of the $LATEST version. If you don't specify the checksum field, or if the checksum does not match the $LATEST version, you get a PreconditionFailedException exception.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - setProcessBehavior
```
public void setProcessBehavior(String processBehavior)
```
    If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Parameters:
    
    processBehavior - If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    See Also:
    
    ProcessBehavior
  - getProcessBehavior
```
public String getProcessBehavior()
```
    If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Returns:
    
    If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    See Also:
    
    ProcessBehavior
  - withProcessBehavior
```
public PutBotRequest withProcessBehavior(String processBehavior)
```
    If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Parameters:
    
    processBehavior - If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProcessBehavior
  - setProcessBehavior
```
public void setProcessBehavior(ProcessBehavior processBehavior)
```
    If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Parameters:
    
    processBehavior - If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    See Also:
    
    ProcessBehavior
  - withProcessBehavior
```
public PutBotRequest withProcessBehavior(ProcessBehavior processBehavior)
```
    If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Parameters:
    
    processBehavior - If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
    
    If you don't specify this value, the default value is BUILD.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    ProcessBehavior
  - setLocale
```
public void setLocale(String locale)
```
    Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Parameters:
    
    locale - Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    See Also:
    
    Locale
  - getLocale
```
public String getLocale()
```
    Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Returns:
    
    Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    See Also:
    
    Locale
  - withLocale
```
public PutBotRequest withLocale(String locale)
```
    Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Parameters:
    
    locale - Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    Locale
  - setLocale
```
public void setLocale(Locale locale)
```
    Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Parameters:
    
    locale - Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    See Also:
    
    Locale
  - withLocale
```
public PutBotRequest withLocale(Locale locale)
```
    Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Parameters:
    
    locale - Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the bot.
    
    The default is en-US.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
    
    See Also:
    
    Locale
  - setChildDirected
```
public void setChildDirected(Boolean childDirected)
```
    For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
    
    Parameters:
    
    childDirected - For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
  - getChildDirected
```
public Boolean getChildDirected()
```
    For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
    
    Returns:
    
    For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
  - withChildDirected
```
public PutBotRequest withChildDirected(Boolean childDirected)
```
    For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
    
    Parameters:
    
    childDirected - For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isChildDirected
```
public Boolean isChildDirected()
```
    For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
    
    Returns:
    
    For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying true or false in the childDirected field. By specifying true in the childDirected field, you confirm that your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. By specifying false in the childDirected field, you confirm that your use of Amazon Lex is not related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in part, to children under age 13 and subject to COPPA.
    
    If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ.
  - setDetectSentiment
```
public void setDetectSentiment(Boolean detectSentiment)
```
    When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
    
    Parameters:
    
    detectSentiment - When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
  - getDetectSentiment
```
public Boolean getDetectSentiment()
```
    When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
    
    Returns:
    
    When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
  - withDetectSentiment
```
public PutBotRequest withDetectSentiment(Boolean detectSentiment)
```
    When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
    
    Parameters:
    
    detectSentiment - When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isDetectSentiment
```
public Boolean isDetectSentiment()
```
    When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
    
    Returns:
    
    When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't specify detectSentiment, the default is false.
  - setCreateVersion
```
public void setCreateVersion(Boolean createVersion)
```
    When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
    
    Parameters:
    
    createVersion - When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
  - getCreateVersion
```
public Boolean getCreateVersion()
```
    When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
    
    Returns:
    
    When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
  - withCreateVersion
```
public PutBotRequest withCreateVersion(Boolean createVersion)
```
    When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
    
    Parameters:
    
    createVersion - When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - isCreateVersion
```
public Boolean isCreateVersion()
```
    When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
    
    Returns:
    
    When set to true a new numbered version of the bot is created. This is the same as calling the CreateBotVersion operation. If you don't specify createVersion, the default is false.
  - getTags
```
public List<Tag> getTags()
```
    A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
    
    Returns:
    
    A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
  - setTags
```
public void setTags(Collection<Tag> tags)
```
    A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
    
    Parameters:
    
    tags - A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
  - withTags
```
public PutBotRequest withTags(Tag... tags)
```
    A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
    
    NOTE: This method appends the values to the existing list (if any). Use setTags(java.util.Collection) or withTags(java.util.Collection) if you want to override the existing values.
    
    Parameters:
    
    tags - A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - withTags
```
public PutBotRequest withTags(Collection<Tag> tags)
```
    A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
    
    Parameters:
    
    tags - A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the PutBot operation to update the tags on a bot. To update tags, use the TagResource operation.
    
    Returns:
    
    Returns a reference to this object so that method calls can be chained together.
  - toString
```
public String toString()
```
    Returns a string representation of this object. This is useful for testing and debugging. Sensitive data will be redacted from this string using a placeholder value.
    
    Overrides:
    
    toString in class Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - equals
```
public boolean equals(Object obj)
```
    Overrides:
    
    equals in class Object
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class Object
  - clone
```
public PutBotRequest clone()
```
    Description copied from class: AmazonWebServiceRequest
    
    Creates a shallow clone of this object for all fields except the handler context. Explicitly does not clone the deep structure of the other fields in the message.
    
    Overrides:
    
    clone in class AmazonWebServiceRequest
    
    See Also:
    
    Object.clone()

AWS SDK for Java 1.x API Reference - 1.12.793

Class PutBotRequest

Field Summary

Fields inherited from class com.amazonaws.AmazonWebServiceRequest

Constructor Summary

Method Summary

Methods inherited from class com.amazonaws.AmazonWebServiceRequest

Methods inherited from class java.lang.Object

Constructor Detail

PutBotRequest

Method Detail

setName

getName

withName

setDescription

getDescription

withDescription

getIntents

setIntents

withIntents

withIntents

setEnableModelImprovements

getEnableModelImprovements

withEnableModelImprovements

isEnableModelImprovements

setNluIntentConfidenceThreshold

getNluIntentConfidenceThreshold

withNluIntentConfidenceThreshold

setClarificationPrompt

getClarificationPrompt

withClarificationPrompt

setAbortStatement

getAbortStatement

withAbortStatement

setIdleSessionTTLInSeconds

getIdleSessionTTLInSeconds

withIdleSessionTTLInSeconds

setVoiceId

getVoiceId

withVoiceId

setChecksum

getChecksum

withChecksum

setProcessBehavior

getProcessBehavior

withProcessBehavior

setProcessBehavior

withProcessBehavior

setLocale

getLocale

withLocale

setLocale

withLocale

setChildDirected

getChildDirected

withChildDirected

isChildDirected

setDetectSentiment

getDetectSentiment

withDetectSentiment

isDetectSentiment

setCreateVersion

getCreateVersion

withCreateVersion

isCreateVersion

getTags

setTags

withTags

withTags

toString

equals

hashCode

clone